Facebook Feed

Twitter Feed

This demo shows the electric power generated by each state, along with the fual required to produce that electric power. Lighter colored states have generate less than the darker states. By using the drop boxes, you can view the data by different years and by different fuel types.
When you click on a state, a two charts appear to the right that shows for every month in that year, the megawatt hours of electric power generated, and the fuel used to produce it.

Electric Power from Coal during 2001

click a state in map to show more information here

click a state in map to show more information here

description

This demo shows the electric power generated by each state, along with the fual required to produce that electric power.
Lighter colored states have generate less than the darker states. By using the drop boxes, you can view the data by different years and by different fuel types.
When you click on a state, a two charts appear to the right that shows for every month in that year, the megawatt hours of electric power generated, and the fuel used to produce it.

LOQD is intended to be domain-extensible, enabling each of the quality metrics to be defined based on the requirements of a particular domain. Thus each LOQD metric is represented as a class which should be further defined by the domain. This is illustrated by the following figure:

Property:lodq:accuracySubproperty of:lodq:qualityMeasureDescription: Are the individual nodes that refer to factual information factually and lexically correct. Like, is Chicago spelled "Chigaco" or does the dataset say its population is 2.7?

Property:lodq:intelligibilitySubproperty of:lodq:qualityMeasureDescription: Are there human-readable labels on things, so you can tell what a thing is when you're looking at? Is there a model, so you can tell what questions you can ask? If a thing has multiple labels (or a set of owl:sameAs things havemlutiple labels), do you know which (or if) one is canonical?

Property:lodq:referentialCorrespondenceSubproperty of:lodq:qualityMeasureDescription: If a set of data points represents some set of real-world referents, is there one and only one point per referent? If you have 9,780 data points representing cities, but five of them are "Chicago", "Chicago, IL", "Metro Chicago", "Metropolitain Chicago, Illinois" and "Chicagoland", that's bad.

Property:lodq:completenessSubproperty of:lodq:qualityMeasureDescription: Where you have data representing a clear finite set of referents, do you have them all? All the countries, all the states, all the NHL teams, etc? And if you have things related to these sets, are those projections complete? Populations of every country? Addresses of arenas of all the hockey teams?

Property:lodq:boundednessSubproperty of:lodq:qualityMeasureDescription: Where you have data representing a clear finite set of referents, is it unpolluted by other things? E.g., can you get a list of current real countries, not mixed with former states or fictional empires or adminstrative subdivisions?

Property:lodq:TypingSubproperty of:lodq:qualityMeasureDescription: Do you really have properly typed nodes for things, or do you just have literals? The first president of the US was not "George Washington"^^xsd:string, it was a person whose name-renderings include "George Washington". Your ability to ask questions will be constrained or crippled if your data doesn't know the difference.

Property:lodq:connectednessSubproperty of:lodq:qualityMeasureDescription: If you're bringing together datasets that used to be separate, are the join points represented properly. Is the US from your country list the same as (or owl:sameAs) the US from your list of presidencies and the US from your list of world cities and their populations?

Property:lodq:isomorphismSubproperty of:lodq:qualityMeasureDescription: If you're bring together datasets that used to be separate, are their models reconciled? Does an album contain songs, or does it contain tracks which are publications of recordings of songs, or something else? If each data point answers this question differently, even simple-seeming queries may be intractable.

Property:lodq:authoritativeSubproperty of:lodq:qualityMeasureDescription: Is the provider of the data a credible authority on the subject. For example, in the UK then Companies House has the definitive information on registered UK companies and no amount of crowd sourcing can change that fact that if the company is not registered with them then it is not registered

In its simplest form, csv2rdf4lod is a quick and easy way to produce an RDF encoding of data available in Comma-Separated-Values (CSV).
In its advanced form, csv2rdf4lod is a custom reasoner tailored for some heavy-duty data integration.

Discussion

Q: Why use cache in sparqlproxy.

A: The use of cache in LOGD sparql endpoint has historical reasons. The cache capability is used specifically reduce load on repetitive queries over LOGD server (e.g. load dynamically generated web pages). The cache will automatically expire, or you may use "refresh-cache=on" option in RESTful request to bypass the cache.

Q: Why two sparqlproxy instances?

A: We maintain two sparqlproxy instances on LOGD server: http://logd.tw.rpi.edu/sparql dedicates to the LOGD sparql endpoint, and http://logd.tw.rpi.edu/ws/sparqlproxy.php allows users to access other sparql endpoints. Users may download the sparqlproxy code and install an instance on their own computer, allowing external users to access their internal triplestores.

To the extent possible under law,
Tetherless World Constellation
has waived all copyright and related or neighboring rights to
TWC LOGD. TWC LOGD is an educational project on open government data using Semantic Web technologies.
Datasets hosted on this site are converted from a number of data sources such as data.gov. All data created by us are open for reuse, and usage of data created and managed by other sources should follow their own licenses.

The data contained on this site is automatically repopulated from US government or other open data sites, and any personal data in our linked-data versions is coming from those sources. If your information is removed from the government sources, it will be automatically removed from ours on the next update.